The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Make Money Surfing the Web? The Impact of Internet Use on the Earnings of U.S. Workers
Abstract
Much research on the “digital divide” presumes that adults who do not use the Internet are economically disadvantaged, yet little research has tested this premise. After discussing several mechanisms that might produce differences in earnings growth between workers who do and do not use the Internet, we use data from the Current Population Survey to examine the impact of Internet use on changes in earnings over 13-month intervals at the end of the “Internet boom.” Our analyses reveal robustly significant positive associations between Web use and earnings growth, indicating that some skills and behaviors associated with Internet use were rewarded by the labor market. Consistent with human-capital theory, current use at work had the strongest effect on earnings. In contrast to economic theory (which has led economists to focus exclusively on effects of contemporaneous workplace technology use), workers who used the Internet only at home also did better, suggesting that users may have benefited from superior access to job information or from signaling effects of using a fashionable technology. The positive association between computer use and earnings appears to reflect the effect of Internet use, rather than use of computers for offline tasks. These results suggest that inequality in access to and mastery of technology is a valid concern for students of social stratification.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Skill Content of Recent Technological Change: An Empirical Exploration
Autor, D. H., Levy, F., & Murnane, R. J. (2003) · The Quarterly Journal of Economics · doi:10.1162/003355303322552801 · Cited by 6,205
Social Capital: A Theory of Social Structure and Action
Lin, N. (2001) · doi:10.1017/cbo9780511815447 · Cited by 4,535
Barley, S. R. (1986) · Administrative Science Quarterly · doi:10.2307/2392767 · Cited by 2,315
Technical change, inequality, and the labor market
Acemoglu, D. (2002) · Journal of Economic Literature · doi:10.1257/jel.40.1.7 · Cited by 1,767
THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA
Winship, C., & Morgan, S. L. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.659 · Cited by 890
Jung, C. G. (1956) · Collected Works, Volume 14 · doi:10.1515/9781400845927 · Cited by 885 · cited 1×
“Indeed, the Department of Labor’s Occupational Outlook includes “conduct research on the Internet” in the job description for secretaries (Levy and Murnane 2004:4).”
Background
Cited by
Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the “Net Generation”
Hargittai, E. (2010) · Sociological Inquiry · doi:10.1111/j.1475-682x.2009.00317.x · Cited by 1,564
Digital inequalities and why they matter
Robinson, L., Cotten, S. R., Ono, H., Quan-Haase, A., Mesch, G., Chen, W., Schulz, J., Hale, T. M., & Stern, M. J. (2015) · Information, Communication & Society · doi:10.1080/1369118x.2015.1012532 · Cited by 1,216
The Third-Level Digital Divide: Who Benefits Most from Being Online?
van Deursen, A. J. A. M., & Helsper, E. J. (2015) · Communication and Information Technologies Annual · doi:10.1108/s2050-206020150000010002 · Cited by 1,022
The Internet and Local Wages: A Puzzle
Forman, C., Goldfarb, A., & Greenstein, S. (2012) · American Economic Review · doi:10.1257/aer.102.1.556 · Cited by 452
Bulman, G., & Fairlie, R. W. (2016) · Handbook of the Economics of Education · doi:10.1016/b978-0-444-63459-7.00005-1 · Cited by 284
Metadata
- Authors
- DiMaggio, P., & Bonikowski, B.
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 2008-04
- Volume
- 73
- Issue
- 2
- Pages
- 227-250
- ISSN
- 0003-1224 (ISSN-L)
- 1939-8271
- OpenAlex
- W2161655480
- Cited by
- 325
- References
- 6
- FWCI
- 18.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Make Money Surfing the Web? The Impact of Internet Use on the Earnings of U.S. Workers. https://app.cochat.ai/papers/10.1177/000312240807300203
- The paper
- DiMaggio, P., & Bonikowski, B. (2008). Make Money Surfing the Web? The Impact of Internet Use on the Earnings of U.S. Workers. American Sociological Review. https://doi.org/10.1177/000312240807300203
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.